code: def forward(ctx, input, aggregator: "SSHENeuralNetworkAggregator"):
      ctx.save_for_backward(input)
      output = aggregator.forward(input)
      output = output.get_plain_text(dst=aggregator.rank_b)
      ctx.aggregator = aggregator
      return aggregator.ctx.mpc.cond_call(
          lambda: output, lambda: torch.empty(1), dst=aggregator.rank_b
      )
  
imports: import typing
  from typing import Any, Iterator
  import torch
  from torch.nn import Parameter
  from fate.arch.context import Context
  from fate.arch.protocol.mpc.common.encoding import IgnoreEncodings
  from fate.arch.protocol.mpc.mpc import FixedPointEncoder
  from fate.arch.trace import auto_trace
label_desc: Use image node_id 1 for calling the SSHENeuralNetworkAggregatorFunction obj's underlying member method code with example usage: obj.forward(ctx, input, aggregator) and returns: aggregator